Model-based diagnosis of embedded systems relies on the ability to estimate their hybrid state from noisy observations. This task is especially challenging for systems with many state variables and autonomous transitions. We propose a fair sampling algorithm that combines Rao-Blackwellised particle filters with a multi-modal Gaussian representation. In order to handle autonomous transitions, we...

Standard median filters preserve abrupt shifts (edges) and remove impulsive noise (outliers) from a constant signal but they deteriorate in trend periods. FIR median hybrid (FMH) filters are more flexible and also preserve shifts, but they are much more vulnerable to outliers. Application of robust regression methods, in particular of the repeated median, has been suggested for removing subsequ...

In this paper, we present a systematic evaluation of a hybrid approach of combined rule-based filtering and machine learning to Dutch coreference resolution. Through the application of a selection of linguistically-motivated negative and positive filters, which we apply in isolation and combined, we study the effect of these filters on precision and recall using two different learning technique...

The paper deals with a harmonic detection algorithm for hybrid power filters called DQ axis with Fourier (DQF) algorithm. This algorithm is a combination of the advantages of DQ axis method and sliding window Fourier analysis (SWFA). It is flexible and suitable in terms of design for hybrid power filters. This paper also presents the harmonic elimination by using the DQF algorithm for both thre...

This paper presents the performance analysis of a hybrid filter composed of passive and active filters connected in series. The analysis is done by evaluating the influence of passive filter parameters variations and the effects that different active power filter’s gain have in the compensation performance of the hybrid scheme. The compensation performance is quantified by evaluating the attenu...

Fog phenomena bring about air flow gentle generating and also decline this awareness involving made from photograph caught in the camera. To increase awareness, air flow gentle evaluation is essential regarding photograph errors removal. As air flow gentle can be quite dazzling, this conventional methods immediately select dazzling p regarding air flow gentle estimation.In this paper improved/h...

The use of nonlinear load led to the injection of harmonics into the power system. In this paper, the performance of two topologies of shunt hybrid power filters for compensating voltage and current harmonics in the distributed power generation (DPG) system has been compared. The control algorithm used in this paper is the p-q theory for the harmonics compensation. The performance of these topo...

In this paper Boolean filters and a variation of these, FIR-Boolean hybrid filters are proposed for realizing the prediction stages of a multiresolution lossless image compression structure. Optimal and adaptive Boolean filters are used for prediction in The proposed predictors performance is compared to the performance of other lossless multiresolution methods: the hierarchical interpolation s...

Digital filters have found important applications in an increasing number of fields in science and engineering, and design techniques have been developed to achieve desired filter characteristics. This paper presents an optimization technique for the design of optimal digital FIR low pass filter. The design of digital FIR filters possible by solving a system of linear equations. In this paper, ...

The current study focuses on two main goals. First, with the use of construction and demolition (C&D) of building materials, a new aggregate was produced and it was utilized for green concrete production. The compressive strength test confirmed the good function of C&DW aggregate concrete. This concrete did not show significant differences with natural sand concrete. Second, Backpropagation neu...